Ethics in Online AI-Based Systems
Risks and Opportunities in Current Technological Trends
- 1st Edition - April 10, 2024
- Imprint: Academic Press
- Editors: Santi Caballé, Joan Casas-Roma, Jordi Conesa
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 8 8 5 1 - 0
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 8 8 5 0 - 3
Ethics in Online AI-Based Systems: Risks and Opportunities in Current Technological Trends creates a space to explore the ethical relevance that new technologies under developme… Read more
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Request a sales quoteEthics in Online AI-Based Systems: Risks and Opportunities in Current Technological Trends creates a space to explore the ethical relevance that new technologies under development may have. Stimulating reflection and considerations with respect to the design, deployment, and use of technology helps readers guide current and future technological advancements from an ethically informed position to ensure that such advancements contribute towards solving current global and social challenges that we, as a society, have today. This will not only be useful for researchers and professional engineers, but also for educators, policy makers, and ethicists.
Recent technological advancements have deeply transformed society and the way people interact with each other. Instantaneous communication platforms have allowed connections with other people, forming global communities and creating unprecedented opportunities in many sectors, making access to online resources more ubiquitous by reducing limitations imposed by geographical distance and temporal constrains. These technological developments bear ethically relevant consequences with their deployment, and legislations often lag behind such advancements. Because the appearance and deployment of these technologies happen much faster than legislative procedures, the way these technologies affect social interactions have profound ethical effects before any legislative regulation can be built in order to prevent and mitigate those effects.
- Investigates how "intelligent" technological advances might be used, how they will affect social interactions, and what ethical consequences they might have for society
- Identifies and reflects on questions that need to be asked before the design, deployment, and application of upcoming technological advancements, aiming to both prevent and mitigate potential risks, as well as to identify potentially ethically-beneficial opportunities
- Recognizes the huge potential for ethically-relevant outcomes that technological advancements have, and take proactive steps to anticipate that they be designed from an ethically-informed position
- Provides reflections that highlight the importance of the relationship between technology, their users and our society, thus encouraging informed design and educational and legislative approaches that take this relationship into account
Researchers, professionals, and graduate students in computer science and engineering; researchers and professionals in industries that use intelligent data-centric systems, including designers and developers, decision-makers and managers, ethics committee members, and members of legal departments. Policy makers and technology entrepreneurs interested in identifying ethically-desirable opportunities and developing new ways of applying technologies to solve global and local challenges
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Preface
- Part I. Ethical Implications of Artificial Intelligence in Applications for Education
- Part II. Ethical Implications of Artificial Intelligence in Autonomous Services and Systems
- Part III. Ethical Implications of Artificial Intelligence Models and Experiences
- Part IV. Ethical Implications of Artificial Intelligence in Social and Political Involvement
- Final words
- Acknowledgments
- Part I: Ethical implications of artificial intelligence in applications for education
- Chapter 1. Adverse effects of intelligent support of CSCL—the ethics of conversational agents
- Abstract
- Introduction
- Conversational agents for collaborative learners
- From general ethical frameworks for AI-based systems to area-specific considerations for CSCL agent design
- Conclusion
- References
- Chapter 2. Navigating the ethical landscape of multimodal learning analytics: a guiding framework
- Abstracts
- Introduction
- Background and literature review
- Methodology
- Result
- Discussion
- Limitations and future work
- Conclusion
- Acknowledgments
- References
- Chapter 3. Ethics in AI-based online assessment in higher education
- Abstract
- Introduction
- The use of AI in online assessment
- Ethics of AI in online assessment
- Conclusion
- References
- Chapter 4. Ethical aspects of automatic emotion recognition in online learning
- Abstract
- Introduction
- Emotions, affective learning, and ethical implications
- Ethical guidelines and frameworks
- Automatic emotion recognition in education: roles, benefits, and ethical risks
- Ethical automatic emotion recognition model for online learning
- Case studies and use case
- Discussion and conclusions
- Acknowledgment
- References
- Chapter 5. Data-driven educational decision-making model for curriculum optimization
- Abstract
- Introduction
- Decision-making process and AI implementation
- The holistic approach to curriculum design and classification
- Indicators and learning management system (LMS) as technical basis for holistic approach
- K-nearest neighbor kNN in strategic budget planning
- LinkedIn and Google Scholar Big Data system for support of human resource procedure
- Part of the decision-making AI system that raises ethical issues and applicable ethical frameworks
- Conclusion
- References
- Part II: Ethical implications of artificial intelligence in autonomous services and systems
- Chapter 6. The ethical issues raised by the use of Artificial Intelligence products for the disabled: an analysis by two disabled people
- Abstract
- Introduction
- Literature review
- Methodology
- Peter
- Peter’s diary
- Laura
- Laura’s diary
- Discussion and reflection
- Conclusions
- Next steps
- References
- Chapter 7. The implications of ethical perspectives in AI and autonomous systems
- Abstract
- Introduction
- Background
- Methodology
- Results
- Conclusions
- References
- Chapter 8. The ethics of online AI-driven agriculture and food systems
- Abstract
- Introduction
- Current trends and future applications of online-based AI in agricultural and food systems
- Potential ethical risks of AI technological advancements in agriculture and food systems
- Preventing and mitigating potential ethical risks of online AI systems in the agri-food sector
- Conclusion
- References
- Chapter 9. AI and grief: a prospective study on the ethical and psychological implications of deathbots
- Abstract
- Continuing bonds, technological mediation, and ethical implications in grief
- Examining the imagined use of deathbots: a prospective study
- Discussing the potential ethical risks of deathbots
- Conclusions: imagining the future of deathbots
- Acknowledgments
- References
- Part III: Ethical implications of artificial intelligence models and experiences
- Chapter 10. Pitfalls (and advantages) of sophisticated large language models
- Abstract
- Introduction
- Hard to distinguish
- Ethical consequences
- How to handle the epistemological crisis
- LLMs as thinking tools
- References
- Chapter 11. Perspectives on the ethics of a VR-based empathy experience for educators
- Abstract
- Introduction
- Background
- Methods
- The design
- Ethics, empathy, and emotion
- Reflections and discussion
- Reflection #1
- Reflection #2
- Reflection #3
- Conclusion
- References
- Chapter 12. Assessing and implementing trustworthy AI across multiple dimensions
- Abstract
- Introduction
- Background
- Methodology
- Conclusion
- Future work
- Acknowledgments
- References
- Chapter 13. Artificial intelligence and basic human needs: the shadow aspects of emerging technology
- Abstract
- Introduction: the rise of intelligent machines
- Methodology
- The fundamental human needs
- Emerging AI technologies and basic human needs
- Autonomous vehicles and the need for certainty and connection
- Facial recognition systems and our human need for variety and significance
- AI writing and image generators and their impact on growth and contribution
- Early warning of disruption and upheaval
- Conclusion—the “Shadow Side” of AI technology
- References
- Chapter 14. Beyond artificial intelligence ethics: exploring empathetic ethical outcomes for artificial intelligence
- Abstract
- Introduction: artificial intelligence and empathy
- Methods
- Case studies
- Discussion: empathy in ethics
- Conclusion
- References
- Further reading
- Part IV: Ethical implications of artificial intelligence in social and political involvement
- Chapter 15. Who decides what online and beyond: freedom of choice in predictive machine-learning algorithms
- Abstract
- Introduction
- Freedom of choice: its value and preconditions
- MLA governance: the rise of “algorithmic choice-architectures”
- MLA choice-architectures and freedom of choice
- Securing freedom of choice by design: a call to action
- Conclusion
- References
- Chapter 16. The hard problem of the androcentric context of AI: challenges for EU policy agendas
- Abstract
- Introduction
- Artificial intelligence and gender biases
- Gender discrimination, RRI, and European regulation for AI
- Conclusions
- Acknowledgments
- References
- Further reading
- Chapter 17. Curse of the cyborg mammoths: the use of artificial intelligence in manipulating and mobilizing human emotions
- Abstract
- Introduction: the inexorable rise of machines
- Background: the primacy of emotions in machine-human interface
- Methodology: ethical prognoses of emerging AI applications
- Autonomous vehicles
- The ethics of autonomous vehicles
- Affect recognition technology
- The ethics of affect recognition technology
- Algorithms in social media
- The ethics of social media algorithms
- Concluding remarks: taming of the cyborg mammoths
- References
- Chapter 18. On deterring hate speech, while maximizing security and privacy
- Abstract
- Introduction: online hate speech, incivility, rage, and the lack of self-restraint
- Context
- Position statement: rethinking social media’s algorithms
- Discussion: filling the empathy gap, while boosting empathy
- Conclusion
- References
- Further reading
- Index
- Edition: 1
- Published: April 10, 2024
- No. of pages (Paperback): 424
- No. of pages (eBook): 350
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780443188510
- eBook ISBN: 9780443188503
SC
Santi Caballé
Santi Caballé is a full professor at the Universitat Oberta de Catalunya (UOC) based in Barcelona, Spain. He holds a PhD, Master's, and Bachelor’s in computing engineering from the UOC where he teaches on-line courses on software engineering and conducts research activity on the interdisciplinary field of learning engineering by combining e-learning, artificial intelligence, software engineering and distributed computing. He has over 250 peer-reviewed publications, including 15 books, 60 papers in indexed journals, and 150 conference papers. Professor Caballé has led and participated in over 30 national and international research projects and has been involved in the organization of many international research events. He also serves as editor for books and special issues of leading international journals.
Affiliations and expertise
Professor, Faculty of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya, Barcelona, SpainJC
Joan Casas-Roma
Joan Casas-Roma is a postdoctoral research fellow at the Universitat Oberta de Catalunya, where he works on AI and ethics in the context of online education. He received his PhD in Knowledge and Information Society from the Universitat Oberta de Catalunya on the areas of formal logic and philosophy of mind. He is also a lecturer at Falmouth University (UK), teaching and leading different modules on design, theory, and computing for digital games. His research interests concern the areas of AI ethics and ethics of technology, as well as different topics in ethics and moral philosophy and philosophy of AI. He has published several papers in international conferences and journals, participated in national research projects in collaboration with other universities, and has participated in the organization and chairing of various conferences.
JC
Jordi Conesa
Jordi Conesa is an associate professor of computer science at the Universitat Oberta de Catalunya. He received his PhD in software engineering from the Technical University of Catalonia, after a research stay in Georgia State University of Atlanta (US). His research interest concerns the areas of conceptual modelling, ontologies, semantic web, knowledge-based systems, and e-learning. His long-term goal is to develop methodologies and tools to use ontologies effectively in several application domains, such as conceptual modelling, software engineering, and e-learning. He has authored more than 60 research papers, has participated in several research projects, including EU-FP7, CICYT and AVANZA funded projects, and has contributed in the organization of international conferences and has been program chair and program committee member of several international conferences. Finally, he also serves as external reviewer for many conferences and journals.
Affiliations and expertise
Faculty of Computer Sciences,Multimedia and Telecommunication, eHealth
Center at Universitat Oberta de Catalunya (UOC), Barcelona, SpainRead Ethics in Online AI-Based Systems on ScienceDirect